• DocumentCode
    2127061
  • Title

    Compressed sensing through a pipe

  • Author

    Whitelonis, Nicholas ; Ling, Hao

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2012
  • fDate
    8-14 July 2012
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    A method is proposed that uses compressed sensing to obtain high-resolution radar images through a pipe. The method is demonstrated with simulation and measurement data and found to provide superior resolution in comparison to a matched filter.
  • Keywords
    compressed sensing; image reconstruction; image resolution; pipes; radar imaging; radar resolution; compressed sensing; high-resolution radar images; matched filter; measurement data; pipe; Azimuth; Compressed sensing; Direction of arrival estimation; Estimation; Imaging; Matched filters; Radar imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4673-0461-0
  • Type

    conf

  • DOI
    10.1109/APS.2012.6347966
  • Filename
    6347966
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2127061